Normal Computing Employee Directory
Normal Computing corporate office is located in New York City, New York, United States and has 11-50 employees.
normal computing corp
Employees by Department
Departments
Number of employees
Engineering & Technical
13
Operations
3
Human Resources
1
Information Technology
1
Key Employees of Normal Computing
- JG
Normal Computing Global Presence
| Location | People at location |
| North America | 11-50 |
| Europe | 1-10 |
Index of contact profiles from Normal Computing
- Program Manager, Marketing
- United States , New York , New York City
- Senior Research Scientist
- United States , New York , New York City
- Forward Deployed Engineer
- United States , New York , New York City
- Product Manager, Staff
- United States , New York , New York City
- Software Engineer
- United States , New York , New York City
- AI Engineer
- United States , New York , New York City
- Software Engineer
- United States , New York , New York City
- AI Resident
- United States , New York , New York City
- Software Engineer
- United States , New York , New York City
- Staff Software Engineer
- United States , New York , New York City
- AI Engineer
- United States , New York , New York City
- Advisor
- United States , New York , New York City
- VP, Engineering
- United States , New York , New York City
- Co-Founder & Chief Executive Officer
- United States , New York , New York City
- Senior Technical Recruiter
- United States , New York , New York City
Former Employees at Normal Computing
Explore people who held key positions, contributed to Normal Computing's success, and advanced their careers.
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Worked as Manager, Recruiting & Talent Operations
at Normal Computing (2024-2024)
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Frequently Asked Questions Regarding Normal Computing Employees
Normal Computing is a technology startup focused on advancing artificial intelligence through novel software and hardware approaches. From an external perspective, it is seen as an emerging deep-tech firm working to overcome limits of traditional computing by combining probabilistic machine learning with physics-inspired chip design. Its work in th... Read More
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